<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="ru">
<Esri>
<CreaDate>20220831</CreaDate>
<CreaTime>15580100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Sector227_ortho.tif</itemName>
<itemLocation>
<linkage Sync="TRUE">file://D:\Astana2020\Жанбота временно\ПАПКА 2022\Обновление 2022\Sector227_ortho.tif</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">664856.887467</westBL>
<eastBL Sync="TRUE">666942.887467</eastBL>
<southBL Sync="TRUE">5666961.630040</southBL>
<northBL Sync="TRUE">5668624.310040</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_UTM_Zone_42N</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_UTM_Zone_42N&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,69.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,32642]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;450445547.3910538&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;32642&lt;/WKID&gt;&lt;LatestWKID&gt;32642&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">16</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">LZW</CompressionType>
<NumBands Sync="TRUE">3</NumBands>
<Format Sync="TRUE">TIFF</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
<NoDataValue Sync="TRUE">256</NoDataValue>
</General>
</RasterProperties>
<lineage>
<Process Date="20220831" Time="155802" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip Sector227_ortho_ortho_merge.tif "664837,622877681 5666903,51962441 666980,651207968 5668690,36213451" "D:\Astana2020\Жанбота временно\ПАПКА 2022\Обновление 2022\Sector227_ortho.tif" Sector227\Polygons 256 ClippingGeometry NO_MAINTAIN_EXTENT</Process>
</lineage>
</DataProperties>
<SyncDate>20220831</SyncDate>
<SyncTime>15580100</SyncTime>
<ModDate>20220831</ModDate>
<ModTime>15580100</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19043) ; Esri ArcGIS 12.9.0.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="rus"/>
<countryCode Sync="TRUE" value="RUS"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Sector227_ortho</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">71.356155</westBL>
<eastBL Sync="TRUE">71.386711</eastBL>
<northBL Sync="TRUE">51.145301</northBL>
<southBL Sync="TRUE">51.129758</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>ortho</keyword>
</searchKeys>
<idPurp>Sector227_ortho</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="rus"/>
<countryCode Sync="TRUE" value="RUS"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Набор растровых данных</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="32642"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">9.8.8(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">664856.887467 5666961.630040</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">664856.887467 5668624.310040</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">666942.887467 5668624.310040</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">666942.887467 5666961.630040</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">665899.887467 5667792.970040</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">52150</dimSize>
<dimResol>
<value Sync="TRUE" uom="м">0.040000</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">41567</dimSize>
<dimResol>
<value Sync="TRUE" uom="м">0.040000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<maxVal Sync="TRUE">255.000000</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_2</dimDescrp>
<maxVal Sync="TRUE">255.000000</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_3</dimDescrp>
<maxVal Sync="TRUE">255.000000</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<mdDateSt Sync="TRUE">20220831</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
